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P. Lambin

Maastricht University - GROW School for Oncology and Reproduction

SCHOLARLY PAPERS

4

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179

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Scholarly Papers (4)

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1.

Predicting Homologous Recombination Deficiency and Treatment Responses Using a Computed Tomography-Based Foundation Model: A Preclinical Study

Number of pages: 47 Posted: 07 Aug 2025
Sheng Kuang, Lesley Schuitmaker, Min Wu, Zohaib Salahuddin, Alexander van der Wiel, Jella van de Laak, Natasja Lieuwes, Rianne Biemans, Jennifer Jung, Ala Yaromin, Ludwig Dubois, Henry C. Woodruff and P. Lambin
Maastricht University - GROW School for Oncology and Reproduction, Maastricht University - GROW School for Oncology and Reproduction, University of Oxford - Wellcome Centre for Integrative Neuroimaging, Maastricht University - GROW School for Oncology and Reproduction, Maastricht University - GROW School for Oncology and Reproduction, Maastricht University - GROW School for Oncology and Reproduction, Maastricht University - GROW School for Oncology and Reproduction, Maastricht University - GROW School for Oncology and Reproduction, Maastricht University - GROW School for Oncology and Reproduction, Maastricht University - GROW School for Oncology and Reproduction, Maastricht University - GROW School for Oncology and Reproduction, Maastricht University - GROW School for Oncology and Reproduction and Maastricht University - GROW School for Oncology and Reproduction
Downloads 75 (837,727)

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Homologous Recombination Deficiency, Foundation Model, Computed Tomography

2.

Whole Brain Radiotherapy vs. Stereotactic Radiotherapy for 4-10 Brain Metastases: A Prematurely Closed Dutch Phase III Randomized Multicenter Trial

Number of pages: 18 Posted: 23 Oct 2020
Dianne Hartgerink, Anna Bruynzeel, Danielle Eekers, Ans Swinnen, Coen Hurkmans, Ruud Wiggenraad, A. Swaak-Kragten, E.M.T. Dieleman, P. van der Toorn, B. Oei, L. van Veelen, J.J.C. Verhoeff, F. Lagerwaard, D. de Ruysscher, P. Lambin and Jaap Zindler
Department of Radiation Oncology (Maastro), GROW School for Oncology, Maastricht University Medical Centre, Department of Radiation Oncology, Amsterdam University Medical Centers, Department of Radiation Oncology (Maastro), GROW School for Oncology, Maastricht University Medical Centre, Maastricht University, Department of Radiation Oncology, Catharina Hospital, Department of Radiation Oncology, Haaglanden Medical Center, Department of Radiation Oncology, Erasmus MC, Rotterdam, Department of Radiation Oncology, Amsterdam University Medical Centers, Department of Radiation Oncology, Catharina Hospital, Department of Radiation Oncology, Verbeeten Institute Tilburg, Department of Radiation Oncology, Zuid-West Radiotherapy Institute Vlissingen, Department of Radiation Oncology, University Medical Center Utrecht, Department of Radiation Oncology, Amsterdam University Medical Centers, Maastricht University, Maastricht University - GROW School for Oncology and Reproduction and Haaglanden Medical Center
Downloads 54 (1,020,567)

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Brain metastases, Stereotactic radiotherapy, Whole brain radiotherapy, Quality of life, Radiosurgery

3.

Automated Detection and Delineation of Lymph Nodes in Haematoxylin & Eosin Stained Digitized Slides

Number of pages: 20 Posted: 23 Sep 2022
Manon Beuque, Derek R. Magee, Avishek Chatterjee, Henry C. Woodruff, Ruth E. Langley, William Allum, Matthew Nankivell, David Cunningham, P. Lambin and Heike I. Grabsch
Maastricht University - GROW School for Oncology and Reproduction, University of Leeds - School of Computing, Maastricht University - GROW School for Oncology and Reproduction, Maastricht University - GROW School for Oncology and Reproduction, University College London - MRC Clinical Trials Unit, Royal Marsden NHS Foundation Trust, University College London - MRC Clinical Trials Unit, Royal Marsden NHS Foundation Trust, Maastricht University - GROW School for Oncology and Reproduction and Maastricht University - GROW School for Oncology and Reproduction
Downloads 45 (1,121,190)

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esophageal cancer, Deep learning, autodelineation, explainability, digital pathology, lymph nodes

4.

­Counterfactuals and Uncertainty-Based Explainable Paradigm for the Automated Detection and Segmentation of Renal Cysts in Computed Tomography Images: A Multi-Center Study

Number of pages: 21 Posted: 09 Feb 2026
Zohaib Salahuddin, Sheng Kuang, Abdalla Ibrahim, Yousif Widaatalla, Razvan L. Miclea, Oliver Morin, Spencer C. Behr, Marnix P.M. Kop, Tom Marcelissen, Patricia Zondervan, Auke Jager, P. Lambin and Henry C. Woodruff
Maastricht University - GROW School for Oncology and Reproduction, Maastricht University, Memorial Sloan Kettering Cancer Center, Maastricht University, affiliation not provided to SSRN, affiliation not provided to SSRN, University of California, San Francisco (UCSF), affiliation not provided to SSRN, Maastricht University, affiliation not provided to SSRN, affiliation not provided to SSRN, Maastricht University - GROW School for Oncology and Reproduction and Maastricht University - GROW School for Oncology and Reproduction
Downloads 5 (1,571,455)

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Explainable artificial intelligence (XAI), Counterfactual Explanations, Variational Autoencoder Generative Adversarial Network (VAE-GAN), Uncertainty estimation, Segmentation quality control, Radiomics